基于基因表达式编程的电力负荷建模  

Power load model based on gene expression programming

作　　者：张建宾[1] 章健[1] 张超慧 潘金月 

机构地区：[1]郑州大学电气工程学院,郑州450001 [2]河南省焦作市供电局,河南焦作454150 [3]安徽省滁州市供电局,安徽滁州239000

出　　处：《电测与仪表》2015年第24期96-100,共5页Electrical Measurement & Instrumentation

摘　　要：电力负荷模型在电力系统规划、设计、运行和控制中具有重要的作用。但由于电力负荷本身具有随机性、时变性、非线性等复杂特性,使得负荷建模问题始终未能得到很好的解决。文章研究的主要对象是一种新的智能优化搜索算法——基因表达式编程(简称GEP),它不依赖工作人员过多的工作经验,更不需要事先规定好目标函数结构。利用GEP算法进行编程,程序可以自动地帮我们找出数据内部之间隐含的关系,从而实现函数的自动建模,进而找到最优的负荷模型。Power load model plays an important role in power system planning,design,operation and control. However,because of some complex characteristics of power load,such as randomness,time-varying,nonlinear,thus the problem of load model has not been solved properly. The main object of this study is a new intelligent optimization search algorithm-Gene Expression Programming（ GEP）. It doesn＇t rely on worker＇s too much experience,not to mention the need of specifying the objective function structure in advance. By using the algorithm of GEP,program can automatically help us find hidden relationships between data inside,thus the automatic modeling of function comes true,and then we can find the optimal load model.

关 键 词：电力系统 负荷建模 基因表达式编程 

分 类 号：TM715[电气工程—电力系统及自动化]